Unsupervised color-texture image segmentation |
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Authors: | Sheng-yang Yu Yan Zhang Yong-gang Wang Jie Yang |
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Institution: | 1. Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200240, China 2. Department of Computer Science, Nanjing University of Science and Technology, Nanjing 210094, China |
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Abstract: | The measure J in J value segmentation (JSEG) falls to represent the discontinuity of color, which degrades the robustness and discrimination of JSEG. An improved approach for JSEG algorithm was proposed for unsupervised color-texture image segmentation. The texture and photometric invariant edge information were combined, which results in a discriminative measure for color-texture homogeneity. Based on the image whose pixel values are values of the new measure, region growing-merging algorithm used in JSEG was then employed to segment the image. Finally, experiments on a variety of real color images demonstrate performance improvement due to the proposed method. |
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Keywords: | color-texture segmentation J value segmentation (JSEG) photometric color invariance edge detection region growing |
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